KR102655759B1 - A natural disaster forecasting and warning system based real-time weather forecast information - Google Patents

Abstract

The present invention relates to a natural disaster forecast and warning system based on real-time meteorological measurement information. It predicts natural disasters that occur based on meteorological measurement information in a specific area for management and provides predictions and warnings to reduce human casualties due to natural disasters. It is about a system that can prevent damage and property damage.
For this purpose, the server 1, which performs control and management of the system, is connected to the server 1 through an internal communication network or an external computer network, and observes weather information in a specific area for management in real time and obtains data about it. It consists of a field terminal (2) that transmits.

Description

Natural disaster forecast and warning system based on real-time weather measurement information {A NATURAL DISASTER FORECASTING AND WARNING SYSTEM BASED REAL-TIME WEATHER FORECAST INFORMATION }

The present invention relates to a natural disaster forecast and warning system based on real-time meteorological measurement information. It predicts natural disasters that occur based on meteorological measurement information in a specific area for management and provides predictions and warnings to reduce human casualties due to natural disasters. It is about a system that can prevent damage and property damage.

Recently, due to climate change, heavy rains and guerilla-like rains have rapidly increased, leading to increased casualties and property damage due to flooding in specific areas requiring management. However, a systematic response system is insufficient.

In addition, damage to life and property is also occurring due to various abnormal weather events such as heat waves accompanied by heat waves, cold waves causing cold damage, and strong winds and storms caused by strong winds along with such heavy rain.

However, in the case of such natural disasters, not only is it difficult to accurately predict, but there is no time to evacuate or prepare before a disaster occurs, so the damage becomes even greater.

For example, in the case of construction sites, flooding and drowning accidents occur due to rapidly rising water due to guerrilla heavy rain, etc., or accidents such as soil collapse and burial during excavation work occur, resulting in casualties.

Accordingly, in Korea, various systems for responding to water disasters are being developed and managed by the Ministry of Public Administration and Security, the Ministry of Land, Infrastructure and Transport, and the Ministry of Environment. However, most systems are river and basin-level information management systems and flood prediction information systems, so they are used at construction sites and The reality is that management of a specific area is difficult.

To overcome these problems, Republic of Korea Patent No. 10-1394861 (Real-time flood risk road detection and web-based flood information service provision system using the Korea Meteorological Administration's neighborhood forecast, hereinafter referred to as 'prior art'. Registered on May 7, 2014) This is about a real-time flood risk road detection and web-based flood information service provision system using the Korea Meteorological Administration's neighborhood forecast. More specifically, it builds a flood risk road database using past history, digital topographic maps, and real-time information from social network services. Using real-time rainfall information from the Korea Meteorological Administration at the time of rainfall, the level of flooding risk is quantitatively calculated and indexed, and a web-based service is provided to quantitatively indicate the level of flooding risk in the event of abnormal events such as guerrilla torrential rain, allowing users to We are proposing a technology for real-time flood risk road detection and web-based flood information service provision system using the Korea Meteorological Administration's neighborhood forecast to prevent isolation due to flooded roads by providing information to enable detours.

However, the above prior art could only predict flooding of roads, and had limitations in providing diverse information on a wide range of specific areas.

Republic of Korea Patent No. 10-1394861 (Real-time flood risk road detection and web-based flood information service provision system using the Korea Meteorological Administration neighborhood forecast, registered on May 7, 2014)

A study on the critical water depth and critical flow velocity that cause human damage in the event of a landslide disaster, Journal of the Korea Disaster Prevention Society, 2016, vol.16, no.2, vol. 78, pp. 399-405 (7 pages)

In order to overcome the above problems, the present invention is based on real-time weather information measured in the field and external weather information such as the Korea Meteorological Administration, and implements a more precise prediction simulation according to geographical topographic information of a specific area for management to reduce human life. and to provide a preemptive natural disaster forecast and warning system to minimize property damage.

In a natural disaster forecast and warning system based on real-time weather measurement information to achieve the technical task of the present invention,

Manage geographical information of a specific area for management, set and manage grid structure coordinates on the geographical information map, manage data, implement and manage weather prediction simulation, and make decisions to determine whether there is a risk of natural disasters. The control device unit 11 is responsible for controlling and managing systems such as information on natural disasters and warning management, and an external computer network and field installed to receive weather information effective or announced from the Korea Meteorological Administration. A communication unit 12 to manage an internal communication network to receive weather information collected in real time and to transmit and receive data, and a memory unit 13 to store and manage data collected by the communication unit 12 through an external computer network and an internal communication network. A server (1) consisting of;

It is connected to the server 1 through an internal communication network or an external computer network, and includes a driving power for operation in order to observe weather information in a specific area for management in real time, obtain and transmit data on this, and include an on-site terminal ( An enclosure unit 21 containing a control device for control of 2), a wind direction and wind speed detection unit 22 for detecting wind direction and speed, a rainfall detection unit 23 for detecting rainfall, and fine dust for detecting fine dust. A natural disaster forecast and warning system based on real-time meteorological measurement information is provided, which consists of a field terminal (2) including a detection unit (24) and a temperature and humidity detection unit (25) that detects temperature and humidity.

At this time, the field terminal (2) can be applied singly or in plural pieces, and one field terminal (2) among the plurality of field terminals (2) can serve as a local server or slave server.

In addition, the control device unit 11 includes a topographic information management module 111 for managing topographic information according to the geographical characteristics of a specific area for management, and a topographic information map acquired and processed in the topographic information management module 111. Through the coordinate management module 112, the terrain information management module 111, and the coordinate management module 112 that set coordinates for division into a grid structure and map and manage the coordinates for division into a grid structure on the terrain information map. Stores information such as processed topographic information maps, weather information effective or announced by the Korea Meteorological Administration, data such as past weather information history of a specific area for management, and data related to real-time weather observation information obtained from the field terminal (2). And based on the data obtained as above, it is stored in the data management module 113, which stores and manages data such as expected simulation implementation, decision history and content, natural disaster information, and warning history, and the data management module 113. Based on managed data, expected simulations to predict weather conditions and natural disasters in a specific area for management are created and implemented, and created in the expected simulation management module 114 and expected simulation management module 114, which manage this. and a decision management module 115 that determines whether a natural disaster is expected to occur and makes a decision based on the implemented natural disaster prediction simulation, and a natural disaster based on the results judged and decided in the decision management module 115. It includes a natural disaster information and warning management module 116 that issues and manages information and warnings.

In addition, the decision management module 115 includes a formula for determining the risk of flooding due to flood damage.

The flood risk determination formula is as follows.

HV = H × V

H: maximum depth

V: maximum flow velocity

In addition, the division of the grid structure sets the position of the virtual field terminal 2 in coordinate units on the geographical information map, and sets the latitude and longitude or GPS value of the actual specific area accordingly.

In addition, the expected simulation management module 114 operates the data management module 113 based on the map divided into a grid structure in the coordinate management module 112 on the terrain information map implemented and provided by the terrain information management module 111. Based on data such as real-time acquired weather information stored and managed in ), forecast simulations are implemented for each time period by reflecting the weather situation, and if there is a risk situation in the area of the grid structure divided and expressed on the geographical information map, 'Red' is displayed. , If it is a warning situation, it is written as 'Yellow', and if it is a safe situation, it is written as 'Green'. Different colors are used for each situation so that the user or administrator can quickly understand the situation.

In addition, if some of the field terminals (2) among the plurality of field terminals (2) located in the partitioned area as described above cannot be driven for reasons such as failure, the data obtained from the remaining field terminals (2) belonging to the partitioned area The purpose of the present invention can be better achieved by providing a natural disaster forecast and warning system based on real-time weather measurement information, which is characterized by calculating the average of real-time field weather information and reflecting it.

By providing a natural disaster forecast and warning system based on real-time weather measurement information of the present invention, based on real-time weather information measured in the field and external weather information such as the Korea Meteorological Administration, more precise information according to the geographical topography of a specific area for management is provided. Implementing predictive simulation has the effect of minimizing human and property damage.

1 is a configuration diagram of a system according to the present invention.
Figure 2 is a configuration diagram of the control device unit 11 according to the present invention.
Figures 3 to 6 are exemplary diagrams of simulation implementation for flooding risk according to an embodiment of the present invention.
Figures 7 to 10 are exemplary diagrams of a flood prediction simulation implementation according to an embodiment of the present invention.

Hereinafter, the natural disaster forecast and warning system based on real-time weather measurement information of the present invention will be described in detail with reference to the drawings so that those skilled in the art can easily implement it.

Figure 1 is a configuration diagram of a system according to the present invention, and Figure 2 is a configuration diagram of the control device unit 11 according to the present invention.

When described in detail with reference to FIGS. 1 and 2, the natural disaster forecast and warning system based on real-time weather measurement information according to the present invention includes a server 1 that performs control and management of the system, the server 1, and an internal communication network. Alternatively, it is connected through an external computer network and consists of an on-site terminal (2) that observes weather information in a specific area for management in real time, acquires and transmits data on it.

Here, the field terminal (2) can be applied singly or in plural pieces, and one field terminal (2) among the plurality of field terminals (2) can serve as a local server or slave server.

The server (1) manages topographic information of a specific area for management, sets and manages grid structure coordinates on the topographic information map, manages data, implements and manages weather prediction simulation, and protects against natural disaster risks. A control device unit (11) that manages decision-making to determine whether or not to determine whether or not to do so, and is responsible for controlling and managing systems such as information and warning management about natural disasters, and a control device unit (11) for receiving weather information that is effective or announced from the Korea Meteorological Administration. The communication unit 12 manages the external computer network and the internal communication network to receive weather information installed in the field and collected in real time, and stores the data collected by the communication unit 12 through the external computer network and the internal communication network. It consists of a memory unit 13 that manages it.

The field terminal (2) includes a driving power source for operation, an enclosure portion (21) including a control device for controlling the field terminal (2), a wind direction and wind speed detection unit (22) that detects wind direction and speed, It is comprised of a rainfall detection unit 23 for detecting the amount of rainfall, a fine dust detection unit 24 for detecting fine dust, and a temperature and humidity detection unit 25 for detecting temperature and humidity.

At this time, the control device included in the enclosure unit 21 may be an edge computer applied in the field.

Here, the wind direction and wind speed detection unit 22 of the field terminal 2 may be a sensing means such as a wind direction anemometer or a sensor capable of detecting wind direction and speed, and the rainfall detection unit 23 may also detect the amount of rainfall. Any means possible is possible. For example, there may be a rain gauge or a rain detection sensor, and the fine dust detection unit 24 and the temperature and humidity detection unit 25 may also be a temperature and humidity meter or a sensor capable of implementing these functions.

The control unit 11 includes a topographic information management module 111 for managing topographic information according to the geographical characteristics of a specific area for management, and a grid structure on the topographic information map obtained and processed from the topographic information management module 111. A coordinate management module 112 that sets coordinates for division and maps and manages the coordinates of the grid structure on the topographic information map, and a topographic information map processed through the topographic information management module 111 and the coordinate management module 112. Information such as the following, weather information effective or announced by the Korea Meteorological Administration, data such as past weather information history of a specific area for management, and data related to real-time weather observation information obtained from the field terminal (2) are stored and obtained as above. Based on the data stored and managed in the data management module 113, the data management module 113 stores and manages data such as implementation of expected simulation, decision history and content, natural disaster information, and alarm history based on the data. Natural disasters created and implemented in the expected simulation management module 114, which creates and implements expected simulations to predict weather conditions and natural disasters in a specific area for management, and manages them. A decision management module 115 that determines whether a natural disaster is expected to occur based on expected simulation and makes a decision, and information and warnings about natural disasters based on the results judged and decided in the decision management module 115. It includes a natural disaster information and warning management module 116 that issues and manages.

The topographic information management module 111 uses topographic information such as digital maps, soil maps, land use maps, conduit data, contour maps, and aerial photographs of a specific area for management to create a 2D floor plan, a 2D cross-sectional view expressing height, and The topographic information map is provided and managed by enabling the implementation of a 3D topographic map based on this.

The coordinate management module 112 sets and manages coordinates for dividing into a grid structure for acquiring and managing real-time weather information on the terrain information map implemented and provided by the terrain information management module 111.

At this time, the size of the area of the grid structure can be set by the user or administrator. For example, in order to obtain and manage more precise data, it is set to a narrow groove.

Here, the division of the grid structure sets the position of the virtual field terminal 2 in coordinate units on the geographical information map, and sets the latitude and longitude or GPS value of the actual specific area accordingly.

Such field terminals (2) are placed on the topographic information map, the installation positions of the plurality of field terminals (2) are set as intersection points, and are divided into a grid structure based on this.

At this time, if some of the field terminals (2) among the plurality of field terminals (2) located in the partitioned area as described above cannot be driven due to failure or other reasons, the data obtained from the remaining field terminals (2) belonging to the partitioned area Data is acquired using real-time on-site weather information.

For example, if one of the field terminals (2) located near each corner of a specific demarcated area cannot be operated due to a breakdown, etc., the real-time field weather acquired from the three field terminals (2) located near the remaining corners The purpose is to calculate the average of the information and reflect it.

This is to overcome the problem of not being able to obtain field data when an event such as a failure of a terminal installed in a specific area occurs when simply relying on data from the field terminal (2) installed in the field, the field terminal (2) is used as the standard. The geographical information map is managed by dividing it into a grid structure.

The data management module 113 includes information such as a terrain information map processed through the terrain information management module 111 and the coordinate management module 112, weather information effective or announced by the Korea Meteorological Administration, and information on a specific area for management. Data such as past weather information history and data related to real-time weather observation information acquired from the field terminal (2) are stored, and based on the data acquired as above, expected simulation is implemented, decision-making history and contents, natural disaster information and warnings are stored. It stores and manages data such as history.

The expected simulation management module 114 generates and implements expected simulations to predict weather conditions and natural disasters in a specific area for management based on data stored and managed in the data management module 113, and manages them. It is done.

To explain in more detail, the terrain information map implemented and provided in the terrain information management module 111 is stored and managed in the data management module 113 based on the map divided into a grid structure in the coordinate management module 112. Based on data such as real-time acquired weather information, forecast simulations for each time zone are implemented by reflecting weather conditions.

At this time, the above-mentioned prediction simulation uses different colors for each situation in areas of the grid structure divided and expressed on the terrain information map.

For example, a dangerous situation is indicated as 'Red', a warning situation as 'Yellow', and a safe situation as 'Green' so that the user or administrator can quickly understand the situation (see Figures 3 to 6). )

The decision management module 115 includes a flood risk judgment formula according to flood damage.

The flood risk determination formula is as follows.

HV = H × V

H: maximum depth

V: maximum flow velocity

For example, assuming that the maximum water depth (H) is 0.2m and the maximum flow velocity (V) is 1.5m/s, the HV value is calculated as 0.3.

The HV value calculated as above is based on the judgment standard values (see Tables 1 to 3) obtained in the case of 'Study on critical water depth and critical flow velocity causing human damage in the event of a landslide disaster', a previous study in this technical field. It is in the ‘safe’ zone.

For another example, assuming that the maximum water depth (H) is 1.0 m and the maximum flow velocity (V) is 1.5 m/s, the HV value is calculated as 1.5.

In this case, it is judged to be in the ‘danger’ zone.

division risk level 0.955 or higher danger 0.478 (50% of risk) to 0.955 boundary 0.478 or less safety

Based on the above flood risk judgment formula, the flood risk of a specific area for management is determined, and based on this, decisions are made regarding natural disasters related to flooding.

Here, in addition to the flood risk calculation results, a double judgment process is further included through comparison with the past rainfall and flood history of a specific area obtained from the Korea Meteorological Administration to increase reliability.

The natural disaster information and warning management module 116 provides information or warnings about natural disaster situations based on the decision results determined by the expected simulation management module 114 and the decision management module 115 and the expected results according to the simulation results. By determining whether an occurrence has occurred, information can be transmitted through the communication unit 12 to officials in a specific area using an internal communication network or to an unspecified number of people located in a specific area through an external computer network.

For example, you can use your own safety management service or use an external comprehensive safety management service.

Here, natural disasters such as those described above may include flooding, heat waves caused by heat waves, cold waves caused by cold temperatures, and storms that occur with strong winds and rainfall.

Through the above method, the present invention provides a natural disaster forecast and warning system based on real-time weather measurement information.

1: Server 2: Field terminal
11: Control device unit 12: Communication unit
13: memory unit
21: enclosure part 22: wind direction and wind speed detection part
22: Rainfall detection unit 23: Fine dust detection unit
24: Temperature and humidity sensing unit
111: Geographic information management module 112: Coordinate management module
113: Data management module 114: Expected simulation management module
115: Decision management module 116: Natural disaster information and warning management module

Claims (7)

In a natural disaster forecast and warning system based on real-time weather measurement information,
Manage geographical information of a specific area for management, set and manage grid structure coordinates on the geographical information map, manage data, implement and manage weather prediction simulation, and make decisions to determine whether there is a risk of natural disasters. The control device unit 11 is responsible for controlling and managing systems such as information and warning management for natural disasters, and the control device unit 11 controls the topography according to the geographical characteristics of a specific area for management. A terrain information management module 111 for managing information, to set coordinates for dividing into a grid structure on the terrain information map acquired and processed by the terrain information management module 111 and to divide into a grid structure on the terrain information map. A coordinate management module 112 that maps and manages coordinates, information such as a topographic information map processed through the topographic information management module 111 and the coordinate management module 112, and weather information effective or announced by the Korea Meteorological Administration and management. Stores data such as past weather information history of a specific area and data related to real-time weather observation information acquired from the field terminal (2), implements predictive simulation based on the data acquired as above, decision-making history and contents, A data management module 113 that stores and manages data such as natural disaster information and warning history, and weather conditions and natural disasters in a specific area for management based on the data stored and managed in the data management module 113. An expected simulation management module 114 that creates and implements expected simulations for prediction and manages them. Based on the expected natural disaster simulation created and implemented in the expected simulation management module 114, the risk of flooding due to the following floods If the HV value calculated according to the judgment formula is 0.955 or more, it is dangerous, if it is 0.955 to 0.478, it is warning, and if it is 0.478 or less, it is safe. The decision management module 115 and the decision management module 115 that determines whether a natural disaster is expected to occur and makes a decision. Includes a natural disaster information and warning management module 116 that issues and manages information and warnings about natural disasters based on the results judged and decided in the module 115, and receives weather information effective or announced from the Korea Meteorological Administration. The communication unit 12 manages the external computer network and the internal communication network for receiving weather information installed in the field and collected in real time, and stores the data collected by the communication unit 12 through the external computer network and the internal communication network. A server (1) consisting of a memory unit (13) that processes and manages;
It is connected to the server 1 through an internal communication network or an external computer network, and includes a driving power for operation in order to observe weather information in a specific area for management in real time, obtain and transmit data on this, and include an on-site terminal ( An enclosure unit 21 containing a control device for control of 2), a wind direction and wind speed detection unit 22 for detecting wind direction and speed, a rainfall detection unit 23 for detecting rainfall, and fine dust for detecting fine dust. A natural disaster forecast and warning system based on real-time meteorological measurement information, characterized in that it consists of a field terminal (2) including a detection unit (24) and a temperature and humidity detection unit (25) that detects temperature and humidity.

The flood risk determination formula is as follows.
HV = H × V
H: maximum depth
V: maximum flow velocity
According to claim 1,
The field terminal (2) can be applied singly or in plural pieces, and allows one field terminal (2) among a plurality of field terminals (2) to act as a local server or slave server. Natural disaster forecast and warning system based on meteorological measurement information.
delete delete According to claim 1,
The division of the grid structure is a real-time weather measurement characterized in that the position of the virtual field terminal (2) is set in coordinate units on the geographical information map, and the latitude and longitude or GPS value of the actual specific area is set accordingly. Information-based natural disaster forecasting and warning system.
According to claim 5,
The expected simulation management module 114 is implemented in the terrain information management module 111 and is provided to the data management module 113 based on the map divided into a grid structure in the coordinate management module 112 on the terrain information map. Based on data such as real-time acquired weather information that is stored and managed, forecast simulations for each time period are implemented by reflecting the weather situation. In case of a dangerous situation in a grid-structured area divided and expressed on the geographical information map, 'Red' and alert are displayed. Natural disaster forecast and warning based on real-time weather measurement information, characterized by displaying different colors for each situation so that users or managers can quickly understand the situation by indicating 'Yellow' for a situation and 'Green' for a safety situation. system.
According to claim 1,
If some of the field terminals (2) among the plurality of field terminals (2) located in the partitioned area as above cannot be operated for reasons such as failure, real-time field data obtained from the remaining field terminals (2) belonging to the partitioned area A natural disaster forecast and warning system based on real-time weather measurement information that calculates the average of weather information and reflects it.